The 5 Essential Big Data Use Cases November 20, 2013

Transcription

1 The 5 Essential Big Data Use Cases November 20, 2013 Copyright 2013 Vivit Worldwide

2 Brought to you by Copyright 2013 Vivit Worldwide

3 Hosted by Chris Carpenter Vivit Leader Seattle Chapter Copyright 2013 Vivit Worldwide

4 Today s Presenter Mark Laughlin Sr. Practice Director IM&A (Big Data) Avnet Copyright 2013 Vivit Worldwide

5 Housekeeping This LIVE session is being recorded Recordings are available to all Vivit members Session Q&A: Please type questions in the Questions Pane Copyright 2013 Vivit Worldwide

6 Webinar Control Panel Toggle View Window between Full screen/window mode. Questions Copyright 2013 Vivit Worldwide

7 Information Management and Analytics - IM&A (Big Data) The 5 Essential Big Data Analytics Use Cases Welcome Mark Laughlin, Avnet Services Sr Practice Director, IM&A November 20, 2013

8 Big Data & Analytics Overview Big Data & Analytics The Evolution of Data Value "Big Data" Cloud/Big Data/Mobile Insight - Events - Context Why? Prescriptive 3.0 Insight 1.0 Data 2.0 Information Data Processing Apps/Files Data - Entries - Content What/When? Descriptive "Big" Data ERP/RDBMS/EDW/BI Information - Transactions - Meaning Who/Where/How? Predictive 8

9 Big Data & Analytics Overview Legacy Challenges are Big Data Opportunities - Storage - Capacity, complete data sets? - Scale - Growth, internal/external data sources? - Speed - Performance, right time/real time? - Integrations - Workflows, multiple/complex ETL s? - Analytics - Value, business requirements/outcomes? - The big deal about Big Data is getting more value more quickly from more data, at a lower cost and with greater agility 9

10 Big Data & Analytics Overview Big Data begins with Storage and Data Sources Every company s legacy big data problem: - Older data is archived and cannot be queried - Other data is misplaced, lost and cannot be found - Fragmented data is scattered and cannot be aggregated - Unidentified data is not defined and cannot be collected - Discarded data is deleted too early and cannot be recovered - Insufficient Storage and Data Management creates missed opportunities to extract insights and value from data sources either in hand or within reach - Data Logistics is the most difficult part of Big Data & Analytics 10

11 Big Data & Analytics Overview Legacy Challenges are Big Data Opportunities - Storage - Capacity, complete data sets? - Scale - Growth, internal/external data sources? - Speed - Performance, right time/real time? - Integrations - Workflows, multiple/complex ETL s? - Analytics - Value, business requirements/outcomes? - The big deal about Big Data is getting more value more quickly from more data, at a lower cost and with greater agility 11

12 Big Data & Analytics Overview Legacy Big Data Use Case ebay - Requirements - More data for historical trends - Quicker, more timely reports - Greater depth of analysis - Use proven technology, x86 servers - Retain operational queries and data sources - Average query performance improved from 5 min to 10 sec - Average trends were increased from 1 year to 12 years of history - Achieved higher customer service levels with new analytics Reference: Big Data and working with what you have TechRepublic - October 2,

13 Big Data & Analytics Overview ebay runs on HP 13

14 The 5 Enterprise Big Data Analytics Use Cases Information Management and Analytics - IM&A (Big Data)

15 Big Data Analytics Use Cases The 5 Enterprise Big Data Analytics Use Cases - Insight, Correlation and Context - Oversight, Enterprise Security and Operations - Low Latency, Right Time and Real Time - External and Multi-Structured Data Sources - Exploration and Discovery - The big deal about Big Data is getting more value more quickly from more data, at a lower cost and with greater agility 15

16 Big Data Analytics Use Cases Insight Higher Education - Rising student debt and costs - Falling completion rates and state funding - Aggregate data on student enrollment and withdrawal patterns and monitor systems to see how students are interacting with digital content, professors and peers - Optimize student performance and the allocation of institution resources - Improve overall outcomes with lower costs, increased enrollments and decreased attrition rates 16

17 Big Data Analytics Use Cases Oversight Threat Assessment and Risk Management - New security risks with BYOD, Cloud, Mobile, Social Apps, as well as more advanced and complex intrusion methods - Increased costs of failure in a connected world - Monitor systems to detect and identity internal and external advanced persistent threats (APT s) - Correlate massive log data, provide real-time analysis and actionable intelligence - Proactively decrease the risk of negative business impact and disruption to critical services 17

18 Big Data Analytics Use Cases Low Latency Healthcare Clinical outcomes - Continuous data capture from all medical instruments vs manual readings every few hours - Inflight data analysis from several different points of view - Clinical decisions made in real-time - Premature babies demonstrate signs of infection in changes in their heart rate up to 24 hours before an infection takes hold - 25% will end up with infections and 10% of those will die - Real-time diagnosis and action saves lives 18

19 Big Data Analytics Use Cases External and Multi-Type Data Sources Entertainment and Media - Customer Sentiment Analysis - Traditional segmentation is no longer sufficient - Twitter, Facebook, Internet trailers create consumer feedback - Sentiment analysis distinguishes positive and negative opinion - Analyze audience reaction for critical decision making - Incorporate findings into future project planning and action 19

20 Big Data Analytics Use Cases Exploration and Discovery Life Sciences Genomics - Holistic comparison of 78 TB of stem cell RNA samples - Gathered data, developed algorithms - Tested iterations, ran comparison - Built research DB - Foundation for discovery and clinical development - Processing time from impossible to 8 hours 20

21 Big Data Analytics Use Cases The 5 Enterprise Big Data Analytics Use Cases - Insight, Correlation and Context - Oversight, Enterprise Security and Operations - Low Latency, Right Time and Real Time - External and Multi-Structured Data Sources - Exploration and Discovery - The big deal about Big Data is getting more value more quickly from more data, at a lower cost and with greater agility 21

22 Big Data & Analytics Overview Big Data & Analytics The Evolution of Data Value "Big Data" Cloud/Big Data/Mobile Insight - Events - Context Why? Prescriptive 3.0 Insight 1.0 Data 2.0 Information Data Processing Apps/Files Data - Entries - Content What/When? Descriptive "Big" Data RDBMS/EDW/BI Information - Transactions - Meaning Who/Where/How? Predictive 22

23 Big Data & Analytics Overview Legacy Challenges are Big Data Opportunities - Storage - Capacity, complete data sets? - Scale - Growth, internal/external data sources? - Speed - Performance, right time/real time? - Integrations - Workflows, multiple/complex ETL s? - Analytics - Value, business requirements/outcomes? - The big deal about Big Data is getting more value more quickly from more data, at a lower cost and with greater agility 23

24 Information Management and Analytics - IM&A (Big Data) The 5 Enterprise Big Data Analytics Use Cases Thank You Mark Laughlin, Avnet Services (650) mark.laughlin@pepperweed.com

25 Thank you Complete the short survey and opt-in for more information from Avnet and you will be entered into a drawing for a $100 USD Amazon gift card. Copyright 2013 Vivit Worldwide